Tokenization

Definition

The process of breaking down text into smaller units called tokens (words, subwords, or characters) for processing by AI models.

Detailed Explanation

In the world of Nlp, Tokenization is defined as the process of breaking down text into smaller units called tokens (words, subwords, or characters) for processing by ai models.

Professionals in the field often use Tokenization in conjunction with other technologies to build robust solutions.

Why Tokenization Matters

For developers and data scientists, mastering Tokenization unlocks new capabilities in model design. It is particularly relevant for optimizing performance and reducing costs.

In Natural Language Processing, this concept helps bridge the gap between human communication and machine understanding.

Last updated: February 2026